Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Interpolation artefacts in mutual information-based image registration
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Image Registration by Maximization of Combined Mututal Information and Gradient Information
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
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This paper describes several experiments that prove that standard motion correction methods may induce spurious activations in some motion-free fMRI studies. This artefact stems from the fact that activated areas behave like biasing outliers for the least square based measure usually driving such registration methods. This effect is demonstrated first using a motion-free simulated time series including artificial activation-like signal changes. Several additional simulations explore the influence of activation on registration accuracy for a wide-range of simulated misregistrations. The effect is finally highlighted on an actual time series obtained from a 3T magnet. All the experiments are performed using four different realignment methods, which allows us to show that the problem is overcome by methods based on robust similarity measures like mutual information.